How MobiKwik Unlocks AWS Savings of 7–10% every month
with CloudKeeper Tuner

icon
Industry:
Financial Services & FinTech
Headquarters:
Gurugram, India
Founded in:
2009
Company Size:
501-1,000 employees

Overview

As one of India’s leading digital financial services platforms, MobiKwik operates a cloud-first infrastructure where cost, performance, and agility are non-negotiable. With growing scale came growing complexity—spread across multiple AWS accounts and services.


Despite using internal tools and AWS-native solutions, MobiKwik struggled to maintain a centralized, actionable view of its cloud optimization efforts. They needed a smarter, automated solution to keep cost efficiency in lockstep with growth.


That’s when they turned to CloudKeeper Tuner

Challenges

Managing a multi-account AWS environment came with its own set of pain points:

Fragmented optimization opportunities across multiple AWS accounts

Time-consuming manual effort for identifying right-sizing and cleanup opportunities

Limited trust in existing insights, often leading to delayed action

MobiKwik needed a solution that was intelligent, reliable, and fast to implement—without disrupting ongoing deployments or business-critical services.

The Solution

Solution: CloudKeeper Tuner

MobiKwik onboarded their AWS environment to CloudKeeper Tuner.Within days, the platform started delivering granular, real-time recommendations across more than 50 AWS services, including EC2, EBS, and RDS.

By analyzing actual usage patterns, historical trends, and peak loads, Tuner provided data-backed suggestions that MobiKwik’s teams could trust—no manual audits, no guesswork.

Impact

EC2 Right-Sizing

Tuner identified ~26% optimization scope in EC2, flagging underutilized instances and helping MobiKwik reallocate resources with zero disruption.

EBS Cleanup & Tuning

While Mobikwik had already built an in-house utility for EBS cleanup, Tuner complemented it by identifying tuning opportunities to further improve storage efficiency.

RDS Optimization

Tuner surfaced over 11.7% monthly savings potential in RDS by recommending smarter instance types and reservation strategies—without performance compromise.

Overall, Tuner uncovered 7–10% monthly savings potential across MobiKwik’s AWS environment—backed by precise insights and immediate actionability.

Value Delivered

Reduced Manual Effort:
Description

Automated analysis replaced time-consuming manual tracking across AWS accounts

Accelerated Decisions:
Description

FinOps and DevOps teams could act on recommendations in hours, not weeks

Lean Infrastructure:
Description

Cleanup of idle volumes and resizing instances resulted in tangible cost reduction

Full Transparency:
Description

Every suggestion was backed by usage data and was risk-free to implement

Continuous Monitoring:
Description

Scans the cloud setup 24/7 for fresh optimization scopes and proactively flags cost spikes

Scalable Optimization:
Description

As MobiKwik grows, Tuner scales effortlessly across their architecture

Why Tuner Stood Out for MobiKwik

Trusted by FinOps & DevOps: Recommendations were backed by strong data credibility and quickly adopted across teams.

1

No Manual Overhead: No scripts, no spreadsheets—just plug in and optimize.

2

Unified Visibility: One dashboard to track cost insights across all integrated accounts.

3

Backed by Experts: CloudKeeper’s FinOps team supports every recommendation with clarity.

4

Conclusion

For MobiKwik, CloudKeeper Tuner became more than just a cost optimization tool—it became a strategic partner in their cloud journey.

CloudKeeper Tuner is one of the best tools for identifying underutilized instances and optimization opportunities. We get consolidated views of all cost optimizations in a single console instead of juggling multiple tabs or third-party tools, plus actionable recommendations for potential savings.

Dilawar Singh
Director of Engineering - DevOps and Infra, MobiKwik
Other Success Stories
  • locus

    How Locus improved resource utilization and achieved cost savings with targeted EKS optimization

    v
  • foundation
    How Foundation AI rearchitected and streamlined their Kubernetes environment with an upgrade to EKS v1.30
    v
  • oneassist

    How OneAssist transitioned to AWS CloudFront achieving enhanced content delivery and minimizing data transfer costs

    v

Speak with our advisors to learn how you can take control of your Cloud Cost